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Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease

Autor
Casamitjana, A.; Vilaplana, V.; Petrone, P.; Molinuevo, J.; Gispert, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
First International Workshop on Predictive Intelligence in Medicine
Any de l'edició
2018
Data de presentació
2018-09-17
Llibre d'actes
PRedictive Intelligence in MEdicine
Pàgina inicial
60
Pàgina final
67
Editor
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-030-00320-3 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/127339 Obrir en finestra nova
URL
https://link.springer.com/chapter/10.1007/978-3-030-00320-3_8 Obrir en finestra nova
Resum
In this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid (CSF) biomarkers (t-tau, p-tau, amyloid-beta) and age as response variables and imaging features as explanatory variables. Freesurfer pipeline is used to compute MRI surface and volumetric features resulting in 68 cortical ROIs and 84 cortical and subcortical ROIs, respecti...
Citació
Casamitjana, A., Vilaplana, V., Petrone, P., Molinuevo, J., Gispert, J. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. A: International Conference on Medical Image Computing and Computer Assisted Intervention. "PRedictive Intelligence in MEdicine". Springer International Publishing, 2018, p. 60-67.
Paraules clau
Latent model, PLS, Preclinical AD
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants